Ain Nadhira, Mohd Taib and Fauziah, Zainuddin and Rahmah, Mokhtar and Kamalia Azma, Kamaruddin and Nadzirah, Ahmad Basri (2024) A systematic literature review of an advisory system. International Journal of Computing and Digital Systems, 15 (1). pp. 855-864. ISSN 2210-142X. (Published)
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Abstract
The growth of Artificial Intelligence (AI) driven technologies has been proposed as a means to improve the standard of people’s lives. The advent of the advisory system has manifested itself as a significant element in Artificial Intelligence, effectively helping people in various fields. This research presents a systematic literature review of an advisory system. This research initially presents 472 articles by examining the literature between 2015 and 2023. After a meticulous review process, the studies were filtered down to 67 articles for full analysis. This review provides significant contributions to the exploration of advisory systems, specifically in the existing framework of advisory systems, the techniques applied in advisory systems, the domain in which the Artificial Intelligence technique is being applied in the advisory system, and the validation technique used in validating the advisory system. Ultimately, this review contributes to a deeper understanding of an advisory system’s role in Artificial Intelligence and in various domains for optimising an advisory system application.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Advisory system; Advisory system framework; Artificial intelligence; Systematic literature review |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
Date Deposited: | 01 Jul 2024 01:05 |
Last Modified: | 01 Jul 2024 01:05 |
URI: | http://umpir.ump.edu.my/id/eprint/41291 |
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